tests/testthat/_snaps/fhir_crack.md
In TPeschel/fhiR: Handling HL7 FHIR® Resources in R
fhir_crack compact with filtered values and automatic column names produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["address[use[@value='home']].city", "address[use[@value='work']].city", "address.use", "address.country"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", "London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home:::work", "home:::work"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy:::Sweden", "France:::England"]
}
]
}
fhir_crack compact with filtered values and given column names produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["home_city", "work_city", "use", "country"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", "London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home:::work", "home:::work"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy:::Sweden", "France:::England"]
}
]
}
fhir_crack compact with similar colnames produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["x", "x1", "x12"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome:::Stockholm", "Berlin:::London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home:::work", "home:::work"]
}
]
}
fhir_crack compact with filtered values and brackets produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["address[use[@value='home']].city", "address[use[@value='work']].city", "address.use", "address.country"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["[1.1]Amsterdam", "[1.1]Rome", "[1.1]Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "[2.1]Stockholm", "[3.1]London"]
},
{
"type": "character",
"attributes": {},
"value": ["[1.1]home", "[1.1]home:::[2.1]work", "[1.1]home:::[3.1]work"]
},
{
"type": "character",
"attributes": {},
"value": ["[1.1]Netherlands", "[1.1]Italy:::[2.1]Sweden", "[2.1]France:::[3.1]England"]
}
]
}
fhir_crack wide with filtered values and brackets produces correct output
{
"type": "list",
"attributes": {
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
},
"names": {
"type": "character",
"attributes": {},
"value": ["[1.1]address[use[@value='home']].city", "[2.1]address[use[@value='work']].city", "[3.1]address[use[@value='work']].city", "[1.1]address.use", "[2.1]address.use", "[3.1]address.use", "[1.1]address.country", "[2.1]address.country", "[3.1]address.country"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home", "home"]
},
{
"type": "character",
"attributes": {},
"value": [null, "work", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "work"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy", null]
},
{
"type": "character",
"attributes": {},
"value": [null, "Sweden", "France"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "England"]
}
]
}
fhir_crack wide with similar colnames produces correct output
{
"type": "list",
"attributes": {
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
},
"names": {
"type": "character",
"attributes": {},
"value": ["[1]x", "[1.1]x1", "[2.1]x1", "[3.1]x1", "[1.1]x12", "[2.1]x12", "[3.1]x12"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home", "home"]
},
{
"type": "character",
"attributes": {},
"value": [null, "work", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "work"]
}
]
}
fhir_crack compact with filtered values and keep_attr produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["address.country@value", "address.use@value", "address[use[@value='home']].city@value", "address[use[@value='work']].city@value"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["[1.1]Netherlands", "[1.1]Italy:::[2.1]Sweden", "[2.1]France:::[3.1]England"]
},
{
"type": "character",
"attributes": {},
"value": ["[1.1]home", "[1.1]home:::[2.1]work", "[1.1]home:::[3.1]work"]
},
{
"type": "character",
"attributes": {},
"value": ["[1.1]Amsterdam", "[1.1]Rome", "[1.1]Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "[2.1]Stockholm", "[3.1]London"]
}
]
}
fhir_crack compact with filtered values produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["address[use[@value='home']].city", "address[use[@value='work']].city", "address.use", "address.country"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", "London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home:::work", "home:::work"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy:::Sweden", "France:::England"]
}
]
}
fhir_crack compact all columns produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["address.city", "address.country", "address.type", "address.use", "id", "name.given"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome:::Stockholm", "Berlin:::London"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy:::Sweden", "France:::England"]
},
{
"type": "character",
"attributes": {},
"value": ["physical", "physical:::postal", "postal:::postal"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home:::work", "home:::work"]
},
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Marie", "Susie", "Frank:::Max"]
}
]
}
fhir_crack compact given columns produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["id", "name.given", "address.city"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Marie", "Susie", "Frank:::Max"]
},
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome:::Stockholm", "Berlin:::London"]
}
]
}
fhir_crack wide given columns produces correct output
{
"type": "list",
"attributes": {
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
},
"names": {
"type": "character",
"attributes": {},
"value": ["[1]id", "[1.1]name.given", "[2.1]name.given", "[1.1]address.city", "[2.1]address.city", "[3.1]address.city"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Marie", "Susie", "Frank"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "Max"]
},
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "London"]
}
]
}
fhir_crack wide all columns produces correct output
{
"type": "list",
"attributes": {
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
},
"names": {
"type": "character",
"attributes": {},
"value": ["[1.1]address.city", "[2.1]address.city", "[3.1]address.city", "[1.1]address.country", "[2.1]address.country", "[3.1]address.country", "[1.1]address.type", "[2.1]address.type", "[3.1]address.type", "[1.1]address.use", "[2.1]address.use", "[3.1]address.use", "[1]id", "[1.1]name.given", "[2.1]name.given"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "London"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy", null]
},
{
"type": "character",
"attributes": {},
"value": [null, "Sweden", "France"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "England"]
},
{
"type": "character",
"attributes": {},
"value": ["physical", "physical", null]
},
{
"type": "character",
"attributes": {},
"value": [null, "postal", "postal"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "postal"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home", "home"]
},
{
"type": "character",
"attributes": {},
"value": [null, "work", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "work"]
},
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Marie", "Susie", "Frank"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "Max"]
}
]
}
fhir_crack produces correct output with two tables
{
"type": "S4",
"attributes": {
".Data": {
"type": "list",
"attributes": {},
"value": [
{
"type": "list",
"attributes": {
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
},
"names": {
"type": "character",
"attributes": {},
"value": ["[1.1]address.city", "[2.1]address.city", "[3.1]address.city", "[1.1]address.country", "[2.1]address.country", "[3.1]address.country", "[1.1]address.type", "[2.1]address.type", "[3.1]address.type", "[1.1]address.use", "[2.1]address.use", "[3.1]address.use", "[1]id", "[1.1]name.given", "[2.1]name.given"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "London"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy", null]
},
{
"type": "character",
"attributes": {},
"value": [null, "Sweden", "France"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "England"]
},
{
"type": "character",
"attributes": {},
"value": ["physical", "physical", null]
},
{
"type": "character",
"attributes": {},
"value": [null, "postal", "postal"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "postal"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home", "home"]
},
{
"type": "character",
"attributes": {},
"value": [null, "work", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "work"]
},
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Marie", "Susie", "Frank"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "Max"]
}
]
},
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["code.coding.code", "code.coding.display", "code.coding.system", "id", "subject.reference"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["29463-7:::27113001"]
},
{
"type": "character",
"attributes": {},
"value": ["Body Weight:::Body weight"]
},
{
"type": "character",
"attributes": {},
"value": ["http://loinc.org:::http://snomed.info/sct"]
},
{
"type": "character",
"attributes": {},
"value": ["obs1"]
},
{
"type": "character",
"attributes": {},
"value": ["Patient/id2"]
}
]
}
]
},
"names": {
"type": "character",
"attributes": {},
"value": ["Patients", "Observations"]
},
"design": {
"type": "S4",
"attributes": {
".Data": {
"type": "list",
"attributes": {},
"value": [
{
"type": "S4",
"attributes": {
"resource": {
"type": "S4",
"attributes": {
".Data": {
"type": "character",
"attributes": {},
"value": ["Patient"]
}
},
"value": {
"class": "fhir_resource_type",
"package": "fhircrackr"
}
},
"cols": {
"type": "S4",
"attributes": {
".Data": {
"type": "character",
"attributes": {},
"value": []
},
"names": {
"type": "character",
"attributes": {},
"value": []
}
},
"value": {
"class": "fhir_columns",
"package": "fhircrackr"
}
},
"sep": {
"type": "character",
"attributes": {},
"value": [":::"]
},
"brackets": {
"type": "character",
"attributes": {},
"value": ["[", "]"]
},
"rm_empty_cols": {
"type": "logical",
"attributes": {},
"value": [false]
},
"format": {
"type": "character",
"attributes": {},
"value": ["wide"]
},
"keep_attr": {
"type": "logical",
"attributes": {},
"value": [false]
}
},
"value": {
"class": "fhir_table_description",
"package": "fhircrackr"
}
},
{
"type": "S4",
"attributes": {
"resource": {
"type": "S4",
"attributes": {
".Data": {
"type": "character",
"attributes": {},
"value": ["Observation"]
}
},
"value": {
"class": "fhir_resource_type",
"package": "fhircrackr"
}
},
"cols": {
"type": "S4",
"attributes": {
".Data": {
"type": "character",
"attributes": {},
"value": []
},
"names": {
"type": "character",
"attributes": {},
"value": []
}
},
"value": {
"class": "fhir_columns",
"package": "fhircrackr"
}
},
"sep": {
"type": "character",
"attributes": {},
"value": [":::"]
},
"brackets": {
"type": "character",
"attributes": {},
"value": []
},
"rm_empty_cols": {
"type": "logical",
"attributes": {},
"value": [false]
},
"format": {
"type": "character",
"attributes": {},
"value": ["compact"]
},
"keep_attr": {
"type": "logical",
"attributes": {},
"value": [false]
}
},
"value": {
"class": "fhir_table_description",
"package": "fhircrackr"
}
}
]
},
"names": {
"type": "character",
"attributes": {},
"value": ["Patients", "Observations"]
}
},
"value": {
"class": "fhir_design",
"package": "fhircrackr"
}
}
},
"value": {
"class": "fhir_df_list",
"package": "fhircrackr"
}
}
TPeschel/fhiR documentation built on April 14, 2024, 7:31 a.m.
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fhir_crack compact with filtered values and automatic column names produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["address[use[@value='home']].city", "address[use[@value='work']].city", "address.use", "address.country"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", "London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home:::work", "home:::work"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy:::Sweden", "France:::England"]
}
]
}
fhir_crack compact with filtered values and given column names produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["home_city", "work_city", "use", "country"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", "London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home:::work", "home:::work"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy:::Sweden", "France:::England"]
}
]
}
fhir_crack compact with similar colnames produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["x", "x1", "x12"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome:::Stockholm", "Berlin:::London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home:::work", "home:::work"]
}
]
}
fhir_crack compact with filtered values and brackets produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["address[use[@value='home']].city", "address[use[@value='work']].city", "address.use", "address.country"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["[1.1]Amsterdam", "[1.1]Rome", "[1.1]Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "[2.1]Stockholm", "[3.1]London"]
},
{
"type": "character",
"attributes": {},
"value": ["[1.1]home", "[1.1]home:::[2.1]work", "[1.1]home:::[3.1]work"]
},
{
"type": "character",
"attributes": {},
"value": ["[1.1]Netherlands", "[1.1]Italy:::[2.1]Sweden", "[2.1]France:::[3.1]England"]
}
]
}
fhir_crack wide with filtered values and brackets produces correct output
{
"type": "list",
"attributes": {
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
},
"names": {
"type": "character",
"attributes": {},
"value": ["[1.1]address[use[@value='home']].city", "[2.1]address[use[@value='work']].city", "[3.1]address[use[@value='work']].city", "[1.1]address.use", "[2.1]address.use", "[3.1]address.use", "[1.1]address.country", "[2.1]address.country", "[3.1]address.country"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home", "home"]
},
{
"type": "character",
"attributes": {},
"value": [null, "work", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "work"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy", null]
},
{
"type": "character",
"attributes": {},
"value": [null, "Sweden", "France"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "England"]
}
]
}
fhir_crack wide with similar colnames produces correct output
{
"type": "list",
"attributes": {
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
},
"names": {
"type": "character",
"attributes": {},
"value": ["[1]x", "[1.1]x1", "[2.1]x1", "[3.1]x1", "[1.1]x12", "[2.1]x12", "[3.1]x12"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home", "home"]
},
{
"type": "character",
"attributes": {},
"value": [null, "work", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "work"]
}
]
}
fhir_crack compact with filtered values and keep_attr produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["address.country@value", "address.use@value", "address[use[@value='home']].city@value", "address[use[@value='work']].city@value"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["[1.1]Netherlands", "[1.1]Italy:::[2.1]Sweden", "[2.1]France:::[3.1]England"]
},
{
"type": "character",
"attributes": {},
"value": ["[1.1]home", "[1.1]home:::[2.1]work", "[1.1]home:::[3.1]work"]
},
{
"type": "character",
"attributes": {},
"value": ["[1.1]Amsterdam", "[1.1]Rome", "[1.1]Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "[2.1]Stockholm", "[3.1]London"]
}
]
}
fhir_crack compact with filtered values produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["address[use[@value='home']].city", "address[use[@value='work']].city", "address.use", "address.country"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", "London"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home:::work", "home:::work"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy:::Sweden", "France:::England"]
}
]
}
fhir_crack compact all columns produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["address.city", "address.country", "address.type", "address.use", "id", "name.given"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome:::Stockholm", "Berlin:::London"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy:::Sweden", "France:::England"]
},
{
"type": "character",
"attributes": {},
"value": ["physical", "physical:::postal", "postal:::postal"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home:::work", "home:::work"]
},
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Marie", "Susie", "Frank:::Max"]
}
]
}
fhir_crack compact given columns produces correct output
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["id", "name.given", "address.city"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Marie", "Susie", "Frank:::Max"]
},
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome:::Stockholm", "Berlin:::London"]
}
]
}
fhir_crack wide given columns produces correct output
{
"type": "list",
"attributes": {
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
},
"names": {
"type": "character",
"attributes": {},
"value": ["[1]id", "[1.1]name.given", "[2.1]name.given", "[1.1]address.city", "[2.1]address.city", "[3.1]address.city"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Marie", "Susie", "Frank"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "Max"]
},
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "London"]
}
]
}
fhir_crack wide all columns produces correct output
{
"type": "list",
"attributes": {
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
},
"names": {
"type": "character",
"attributes": {},
"value": ["[1.1]address.city", "[2.1]address.city", "[3.1]address.city", "[1.1]address.country", "[2.1]address.country", "[3.1]address.country", "[1.1]address.type", "[2.1]address.type", "[3.1]address.type", "[1.1]address.use", "[2.1]address.use", "[3.1]address.use", "[1]id", "[1.1]name.given", "[2.1]name.given"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "London"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy", null]
},
{
"type": "character",
"attributes": {},
"value": [null, "Sweden", "France"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "England"]
},
{
"type": "character",
"attributes": {},
"value": ["physical", "physical", null]
},
{
"type": "character",
"attributes": {},
"value": [null, "postal", "postal"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "postal"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home", "home"]
},
{
"type": "character",
"attributes": {},
"value": [null, "work", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "work"]
},
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Marie", "Susie", "Frank"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "Max"]
}
]
}
fhir_crack produces correct output with two tables
{
"type": "S4",
"attributes": {
".Data": {
"type": "list",
"attributes": {},
"value": [
{
"type": "list",
"attributes": {
"row.names": {
"type": "integer",
"attributes": {},
"value": [1, 2, 3]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
},
"names": {
"type": "character",
"attributes": {},
"value": ["[1.1]address.city", "[2.1]address.city", "[3.1]address.city", "[1.1]address.country", "[2.1]address.country", "[3.1]address.country", "[1.1]address.type", "[2.1]address.type", "[3.1]address.type", "[1.1]address.use", "[2.1]address.use", "[3.1]address.use", "[1]id", "[1.1]name.given", "[2.1]name.given"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["Amsterdam", "Rome", "Berlin"]
},
{
"type": "character",
"attributes": {},
"value": [null, "Stockholm", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "London"]
},
{
"type": "character",
"attributes": {},
"value": ["Netherlands", "Italy", null]
},
{
"type": "character",
"attributes": {},
"value": [null, "Sweden", "France"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "England"]
},
{
"type": "character",
"attributes": {},
"value": ["physical", "physical", null]
},
{
"type": "character",
"attributes": {},
"value": [null, "postal", "postal"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "postal"]
},
{
"type": "character",
"attributes": {},
"value": ["home", "home", "home"]
},
{
"type": "character",
"attributes": {},
"value": [null, "work", null]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "work"]
},
{
"type": "character",
"attributes": {},
"value": ["id1", "id2", "id3"]
},
{
"type": "character",
"attributes": {},
"value": ["Marie", "Susie", "Frank"]
},
{
"type": "character",
"attributes": {},
"value": [null, null, "Max"]
}
]
},
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["code.coding.code", "code.coding.display", "code.coding.system", "id", "subject.reference"]
},
"row.names": {
"type": "integer",
"attributes": {},
"value": [1]
},
"class": {
"type": "character",
"attributes": {},
"value": ["data.frame"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["29463-7:::27113001"]
},
{
"type": "character",
"attributes": {},
"value": ["Body Weight:::Body weight"]
},
{
"type": "character",
"attributes": {},
"value": ["http://loinc.org:::http://snomed.info/sct"]
},
{
"type": "character",
"attributes": {},
"value": ["obs1"]
},
{
"type": "character",
"attributes": {},
"value": ["Patient/id2"]
}
]
}
]
},
"names": {
"type": "character",
"attributes": {},
"value": ["Patients", "Observations"]
},
"design": {
"type": "S4",
"attributes": {
".Data": {
"type": "list",
"attributes": {},
"value": [
{
"type": "S4",
"attributes": {
"resource": {
"type": "S4",
"attributes": {
".Data": {
"type": "character",
"attributes": {},
"value": ["Patient"]
}
},
"value": {
"class": "fhir_resource_type",
"package": "fhircrackr"
}
},
"cols": {
"type": "S4",
"attributes": {
".Data": {
"type": "character",
"attributes": {},
"value": []
},
"names": {
"type": "character",
"attributes": {},
"value": []
}
},
"value": {
"class": "fhir_columns",
"package": "fhircrackr"
}
},
"sep": {
"type": "character",
"attributes": {},
"value": [":::"]
},
"brackets": {
"type": "character",
"attributes": {},
"value": ["[", "]"]
},
"rm_empty_cols": {
"type": "logical",
"attributes": {},
"value": [false]
},
"format": {
"type": "character",
"attributes": {},
"value": ["wide"]
},
"keep_attr": {
"type": "logical",
"attributes": {},
"value": [false]
}
},
"value": {
"class": "fhir_table_description",
"package": "fhircrackr"
}
},
{
"type": "S4",
"attributes": {
"resource": {
"type": "S4",
"attributes": {
".Data": {
"type": "character",
"attributes": {},
"value": ["Observation"]
}
},
"value": {
"class": "fhir_resource_type",
"package": "fhircrackr"
}
},
"cols": {
"type": "S4",
"attributes": {
".Data": {
"type": "character",
"attributes": {},
"value": []
},
"names": {
"type": "character",
"attributes": {},
"value": []
}
},
"value": {
"class": "fhir_columns",
"package": "fhircrackr"
}
},
"sep": {
"type": "character",
"attributes": {},
"value": [":::"]
},
"brackets": {
"type": "character",
"attributes": {},
"value": []
},
"rm_empty_cols": {
"type": "logical",
"attributes": {},
"value": [false]
},
"format": {
"type": "character",
"attributes": {},
"value": ["compact"]
},
"keep_attr": {
"type": "logical",
"attributes": {},
"value": [false]
}
},
"value": {
"class": "fhir_table_description",
"package": "fhircrackr"
}
}
]
},
"names": {
"type": "character",
"attributes": {},
"value": ["Patients", "Observations"]
}
},
"value": {
"class": "fhir_design",
"package": "fhircrackr"
}
}
},
"value": {
"class": "fhir_df_list",
"package": "fhircrackr"
}
}
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